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Journal articles on the topic 'Intelligence augmentée'

Author: Grafiati

Published: 25 May 2024

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1

Morillon, Laurent, and Arlette Bouzon. "Entre intelligence collective et porosité augmentée, étude d’un médiateur entre chercheurs et praticiens." Communication et organisation, no. 47 (June 1, 2015): 75–84. http://dx.doi.org/10.4000/communicationorganisation.4902.

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2

Ahmad, Zubair. "Artificial Intelligence or Augmented Intelligence?" International Journal of Science and Research (IJSR) 12, no. 12 (2023): 1782–88. http://dx.doi.org/10.21275/sr231212220052.

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3

Khaddad, A., A. Bartoli, K. Chandelon, G. Margue, N. Bourdel, and J. Bernhard. "Reconnaissance automatisée de la surface rénale par intelligence artificielle au cours de néphrectomies partielles robot-assistées (NPRA) : un pas vers la réalité augmentée." Progrès en Urologie - FMC 33, no. 3 (2023): S46—S47. http://dx.doi.org/10.1016/j.fpurol.2023.07.069.

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4

Bonnaure, Pierre. "MALLARD Stéphane / ALEXANDRE Laurent (préf.), Disruption, Intelligence artificielle, fin du salariat, humanité augmentée. Préparez-vous à changer de monde, Paris : Dunod, mai 2018, 256 p." Futuribles N° 428, no. 1 (2019): IX. http://dx.doi.org/10.3917/futur.428.0131i.

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5

Jarrahi, Mohammad Hossein, Christoph Lutz, and Gemma Newlands. "Artificial intelligence, human intelligence and hybrid intelligence based on mutual augmentation." Big Data & Society 9, no. 2 (2022): 205395172211428. http://dx.doi.org/10.1177/20539517221142824.

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There is little consensus on what artificial intelligence (AI) systems may or may not embrace. Although this may point to multiplicity of interpretations and backgrounds, a lack of conceptual clarity could thwart the development of common ground around the concept among researchers, practitioners and users of AI and pave the way for misinterpretation and abuse of the concept. This article argues that one of the effective ways to delineate the concept of AI is to compare and contrast it with human intelligence. In doing so, the article broaches the unique capabilities of humans and AI in relati

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Cerf, Vinton G. "Augmented Intelligence." IEEE Internet Computing 17, no. 5 (2013): 96. http://dx.doi.org/10.1109/mic.2013.90.

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7

Suman, Sristi. "Augmented Intelligence for National Security and Development." Unity Journal 3, no. 01 (2022): 245–52. http://dx.doi.org/10.3126/unityj.v3i01.43329.

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Augmented Intelligence is a system model which centre on the partnership between human general intelligence & common sense with Artificial Intelligence’s exceptional processing speed and computation power to get better cognitive performance. This study can shed light on Augmented Intelligence and how it can be implemented so that we have heroes working at the peak human level possible, suffer fewer casualties, and also have equal footing in terms of technology and military strength. Nepal being open bordered country has a great threat from the border issues and with ever-rising crime and c

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8

Rui, Yong. "From Artificial Intelligence to Augmented Intelligence." IEEE MultiMedia 24, no. 1 (2017): 4–5. http://dx.doi.org/10.1109/mmul.2017.8.

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9

Lee, JoongHak, Jinwoo Jung, and Taekyung Song. "Research on Personnel Selection in the Age of Artificial General Intelligence Focusing on Augmented Intelligence." Korean Academy of Organization and Management 47, no. 2 (2023): 113–37. http://dx.doi.org/10.36459/jom.2023.47.2.113.

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This study is designed to actively consider how the use of artificial general intelligence, sparked by the rise of generative artificial intelligence (AI), can help organizations decide who to hire. For a long time, cognitive abilities have been used by organizations as an important selection factor and an important tool for predicting performance. However, ChatGPT, AutoGPT, BabyAGI, and others are heralding the rise of artificial general intelligence, which means that the cognitive skills required of employees will become less and less important. Therefore, through a literature review and exp

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10

von Ahn, Luis. "Augmented intelligence: the Web and human intelligence." Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 371, no. 1987 (2013): 20120383. http://dx.doi.org/10.1098/rsta.2012.0383.

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11

Adlassnig, Klaus-Peter. "Artificial-intelligence-augmented systems." Artificial Intelligence in Medicine 24, no. 1 (2002): 1–4. http://dx.doi.org/10.1016/s0933-3657(01)00102-6.

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Skiba, Diane J. "Augmented Intelligence and Nursing." Nursing Education Perspectives 38, no. 2 (2017): 108–9. http://dx.doi.org/10.1097/01.nep.0000000000000124.

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13

Cappel, Christian, Ranna Iraqi, and und Maik Lachmann. "Augmented Intelligence im Controlling." Controlling 35, no. 2 (2023): 50–56. http://dx.doi.org/10.15358/0935-0381-2023-2-50.

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Mittels einer qualitativen Fallstudie in einem Industrieunternehmen beleuchtet dieser Beitrag Faktoren, welche die Mitarbeiterakzeptanz von KI-Systemen im Controlling fördern bzw. hemmen. Zudem werden Maßnahmen im Zuge der Implementierung von KI-Systemen aufgezeigt, die diese Akzeptanz steigern können, sodass Potenziale durch eine Automatisierung der Controlling-Prozesse ausgeschöpft werden.

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14

Jain, Hemant, Balaji Padmanabhan, Paul A. Pavlou, and T. S. Raghu. "Editorial for the Special Section on Humans, Algorithms, and Augmented Intelligence: The Future of Work, Organizations, and Society." Information Systems Research 32, no. 3 (2021): 675–87. http://dx.doi.org/10.1287/isre.2021.1046.

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Recent developments in artificial intelligence (AI) have increased interest in combining AI with human intelligence to develop superior systems that augment human and artificial intelligence. In this paper, augmented intelligence informally means computers and humans working together, by design, to enhance one another, such that the intelligence of the resulting system improves. Intelligence augmentation (IA) can pool the joint intelligence of humans and computers to transform individual work, organizations, and society. Notably, applications of IA are beginning to emerge in several domains, s

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15

Amit Dubey , Sanjeev Kumar Sharma , Saurabh Karsoliya, Prashant Chandra. "A novel Conceptualization of AI Literacy and Empowering Employee Experience at Digital Workplace Using Generative AI and Augmented Analytics: A Survey." Journal of Electrical Systems 20, no. 2 (2024): 2582–603. http://dx.doi.org/10.52783/jes.2031.

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With the fast, rapid, and expeditious integration of Artificial Intelligence (AI) technologies, particularly Generative AI and Augmented Analytics, organizations are presented with new opportunities to transform their operations and empower their workforce. This paper explores the intersection of AI literacy, Generative AI, and Augmented Analytics to propose strategies for fostering a culture of AI fluency among employees. This paper reviews the literature on AI literacy and its potential implications for employee experience (Ex) in digital workplaces. AI literacy and competency is the ability

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16

Khan, Tanveer, Masoom Alam, Adnan Akhunzada, Ali Hur, Muhammad Asif, and Muhammad Khurram Khan. "Towards augmented proactive cyberthreat intelligence." Journal of Parallel and Distributed Computing 124 (February 2019): 47–59. http://dx.doi.org/10.1016/j.jpdc.2018.10.006.

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17

Ilyas, Mohammad. "Augmented Intelligence for Advancing Healthcare." Journal of Systemics, Cybernetics and Informatics 20, no. 6 (2022): 13–19. http://dx.doi.org/10.54808/jsci.20.06.13.

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Augmented Intelligence (AuI) is being integrated in a variety of our daily activities and applications. Healthcare is one of those applications and, in fact, it will greatly benefit from AuI leading to impressive improvements. Although, as with the use of any new innovations, the use of AuI in healthcare is not without concerns, the benefits are expected to outweigh the concerns. It is also expected and adequate education about AuI related innovations in healthcare and their potential benefits, will build trust among consumers and alleviate perceived concerns. For the process to be relatively

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18

Duong, Michael Tran, Andreas M. Rauschecker, Jeffrey D. Rudie, et al. "Artificial intelligence for precision education in radiology." British Journal of Radiology 92, no. 1103 (2019): 20190389. http://dx.doi.org/10.1259/bjr.20190389.

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In the era of personalized medicine, the emphasis of health care is shifting from populations to individuals. Artificial intelligence (AI) is capable of learning without explicit instruction and has emerging applications in medicine, particularly radiology. Whereas much attention has focused on teaching radiology trainees about AI, here our goal is to instead focus on how AI might be developed to better teach radiology trainees. While the idea of using AI to improve education is not new, the application of AI to medical and radiological education remains very limited. Based on the current educ

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19

Ehrenfeld, Jesse M. "Artificial Intelligence versus Augmented Intelligence: What's in a Word?" Biomedical Instrumentation & Technology 56, no. 4 (2022): 130–31. http://dx.doi.org/10.2345/0899-8205-56.4.130.

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20

Pal Singh Shobhit, Jatin. "Automating Threat Intelligence Analysis with Retrieval Augmented Generation (RAG) for Enhanced Cybersecurity Posture." International Journal of Science and Research (IJSR) 13, no. 5 (2024): 251–55. http://dx.doi.org/10.21275/sr24502103758.

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21

Marwaha, Shruti, A. K. Sinha, and Ramesh Sahani. "Cognitive Development and Academic Achievement Extent of Association - A Review Report." International Journal of Research in Informative Science Application & Techniques (IJRISAT) 3, no. 4 (2019): 68–107. http://dx.doi.org/10.46828/ijrisat.v3i4.83.

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Education, cognition and learning have become integral part of every child’s personality. These inseparable aspects are considerably vital in shaping the individual and helping him to achieve success. In the schools and educational institutes where education has been taken on priority, the cognitive abilities and excellence in mastering them mitigate the burdens and stress in educational system. In this context, it is assumed that when the children are taught as per their affinity and dominant multiple intelligence, they can learn better and turn into efficient learners. This review paper has

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22

Bagnato, Vincenzo Paolo. "Artificial Intelligence for Design The Artificial Intelligence of Objects." Venturing into the Age of AI: Insights and Perspectives, no. 27 (October 1, 2023): 30–35. http://dx.doi.org/10.37199/f40002705.

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Artificial Intelligence (AI) is increasingly permeating various domains, revolutionizing traditional processes and opening new avenues for innovation. In the realm of design, AI holds immense promise, offering capabilities to augment human creativity, streamline workflows, and deliver personalized user experiences. This paper explores the intersection of AI and design, highlighting its transformative potential and key implications. Firstly, for instance, AI-powered design tools automate repetitive tasks, freeing up designers' time for more creative endeavors, while generative design algorithms

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23

Xie, Guotong, Tiange Chen, Yingxue Li, Tingyu Chen, Xiang Li, and Zhihong Liu. "Artificial Intelligence in Nephrology: How Can Artificial Intelligence Augment Nephrologists’ Intelligence?" Kidney Diseases 6, no. 1 (2019): 1–6. http://dx.doi.org/10.1159/000504600.

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24

Cuillandre, Hervé. "Intelligence artificielle : homme augmenté ou homme substitué ?" Humanisme N° 316, no. 3 (2017): 25–30. http://dx.doi.org/10.3917/huma.316.0025.

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25

Nishida, Toyoaki. "Augmenting Conversational Environment." International Journal of Cognitive Informatics and Natural Intelligence 6, no. 4 (2012): 103–24. http://dx.doi.org/10.4018/jcini.2012100105.

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People are proficient in collaboratively forming and maintaining gatherings thereby shaping and cultivating collective thoughts through fluent conversational interactions. A big challenge is to develop a technology for augmenting the conversational environment so that people can conduct even better conversational interactions for collective intelligence and creation. Conversational informatics is a field of research that focuses on investigating conversational interactions and designing intelligent artifacts that can augment conversational interactions. The field draws on a foundation provided

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26

Imran, Sheik, Rekha C, and Reshma C R. "Advanced Virtual Fitting Rooms: A Review of Underlying Artificial Intelligence Technologies and Augmented Reality." International Journal of Science and Research (IJSR) 12, no. 10 (2023): 412–16. http://dx.doi.org/10.21275/sr231003234825.

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27

Honarmand, Melika. "Augmented Machine Intelligence with Human Intelligence for Cryptocurrency Price Prediction." International Journal of Machine Learning 14, no. 1 (2024): 7–11. http://dx.doi.org/10.18178/ijml.2024.14.1.1150.

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This research explores the integration of human and machine intelligence in the financial industry. While AI systems excel at analyzing data, humans possess unique traits that contribute to accurate predictions. Inspired by the concept of Augmented Financial Intelligence, the study aims to integrate human intelligence with existing models, considering the limitations of current human input methods. Natural Language Processing and Sentiment Analysis are used to enhance prediction tasks, but limited training data and suboptimal processing can introduce noise. The study introduces a framework tha

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28

Nelson, Scott D., Colin G. Walsh, Casey A. Olsen, et al. "Demystifying artificial intelligence in pharmacy." American Journal of Health-System Pharmacy 77, no. 19 (2020): 1556–70. http://dx.doi.org/10.1093/ajhp/zxaa218.

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Abstract Purpose To provide pharmacists and other clinicians with a basic understanding of the underlying principles and practical applications of artificial intelligence (AI) in the medication-use process. Summary “Artificial intelligence” is a general term used to describe the theory and development of computer systems to perform tasks that normally would require human cognition, such as perception, language understanding, reasoning, learning, planning, and problem solving. Following the fundamental theorem of informatics, a better term for AI would be “augmented intelligence,” or leveraging

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29

Zheng, Nan-ning, Zi-yi Liu, Peng-ju Ren, et al. "Hybrid-augmented intelligence: collaboration and cognition." Frontiers of Information Technology & Electronic Engineering 18, no. 2 (2017): 153–79. http://dx.doi.org/10.1631/fitee.1700053.

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30

Hellebrandt, Thomas, Louis Huebser, Tobias Adam, Ina Heine, and Robert H. Schmitt. "Augmented Intelligence – Mensch trifft Künstliche Intelligenz." Zeitschrift für wirtschaftlichen Fabrikbetrieb 116, no. 6 (2021): 433–37. http://dx.doi.org/10.1515/zwf-2021-0104.

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Abstract Künstliche Intelligenz (KI) gilt in vielen Bereichen als bahnbrechend, da die kognitive Leistung des Menschen reproduziert oder sogar übertroffen werden kann. Zunehmend findet KI nun auch Anwendung in der industriellen Produktion. Bisherige Applikationen haben jedoch gezeigt, dass ein vollständig automatisierter Einsatz von KI für die Entscheidungsfindung nicht ausreichend ist. Stattdessen geht der Ansatz der Augmented Intelligence davon aus, dass sich menschliche und maschinelle Intelligenz positiv ergänzen, um effizienter und zuverlässiger Entscheidungen zu treffen und daraus Handlu

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31

Fournier, Martine. "Intelligence . Peut-on augmenter nos capacités ?" Sciences Humaines N° 241, no. 10 (2012): 5. http://dx.doi.org/10.3917/sh.241.0005.

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32

Petrotta, Mark, and Troy Peterson. "Implementing Augmented Intelligence In Systems Engineering." INCOSE International Symposium 29, no. 1 (2019): 543. http://dx.doi.org/10.1002/j.2334-5837.2019.00619.x.

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33

Barber, Kirk. "Augmented Intelligence—JCMS 2022." Journal of Cutaneous Medicine and Surgery 27, no. 3 (2023): 212–13. http://dx.doi.org/10.1177/12034754231176616.

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34

M, Devi, Renukasrinidhi N, and Swarnamaalika N. Mrs P. Rekha. "An intelligent device control system using augmented reality and zigbee technology." International Journal of Trend in Scientific Research and Development Volume-2, Issue-3 (2018): 1725–28. http://dx.doi.org/10.31142/ijtsrd11435.

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35

Nikonov, Oleh. "Concept of convergence of augmented reality technologies and artificial intelligence for spe-cial purpose vehicles." Bulletin of Kharkov National Automobile and Highway University, no. 95 (December 16, 2021): 235. http://dx.doi.org/10.30977/bul.2219-5548.2021.95.0.235.

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The use of artificial intelligence is a modern important trend in the creation of promising information and control systems of vehicles, including special purpose. The high demands on augmented reality software simply cannot rely solely on human programming to display virtual objects against the real world. Neural networks and machine learning can perform these tasks with much greater efficiency and can greatly improve the augmented reality experience. Goal. The purpose of the article is to develop the concept of convergence of augmented reality and artificial intelligence technologies for spe

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36

Alhamuddin, Alhamuddin, Dinar Nur Inten, Dewi Mulyani, et al. "Multiple intelligence-based differential learning on critical thinking skills of higher education students." International Journal of ADVANCED AND APPLIED SCIENCES 10, no. 8 (2023): 132–39. http://dx.doi.org/10.21833/ijaas.2023.08.015.

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This research aims to scrutinize the impact of multiple intelligences-based differential learning on the enhancement of critical thinking skills among university students. A cohort of sixty-six teacher students actively participated in this empirical investigation. Critical thinking proficiency was meticulously assessed employing a battery of tests and a comprehensive questionnaire. The findings of this study unequivocally demonstrate that multiple intelligences-based differential learning exerts a discernible influence on the development of critical thinking abilities among university student

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37

Stephen, Andrew T. "Here Comes the Hyper-Connected Augmented Consumer." GfK Marketing Intelligence Review 9, no. 2 (2017): 10–17. http://dx.doi.org/10.1515/gfkmir-2017-0012.

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Abstract Consumers have become always on and constantly connected. Search costs have plummeted, individuals’ abilities to digitally express themselves and their opinions increased, and the opportunities for superior business and market intelligence for companies have skyrocketed. This has given rise to more, richer, and new sources of consumer data that marketers can leverage, and has fueled the data-driven insights revolution in marketing. But there is more to come very soon. In marketing, we are quickly moving from the age of the connected consumer to the age of the augmented consumer. New t

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38

Warner, Mike. "Satori: Toward a Global Augmented Intelligence Architecture." Journal of Investing 28, no. 3 (2019): 88–99. http://dx.doi.org/10.3905/joi.2019.28.3.088.

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39

Xue, Jianru, Bin Hu, Lingxi Li, and Junping Zhang. "Human—machine augmented intelligence: research and applications." Frontiers of Information Technology & Electronic Engineering 23, no. 8 (2022): 1139–41. http://dx.doi.org/10.1631/fitee.2250000.

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40

Currie, Geoffrey M. "Intelligent Imaging: Artificial Intelligence Augmented Nuclear Medicine." Journal of Nuclear Medicine Technology 47, no. 3 (2019): 217–22. http://dx.doi.org/10.2967/jnmt.119.232462.

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41

Pruinelli, Lisiane, and Martin Michalowski. "Toward an Augmented Nursing-Artificial Intelligence Future." CIN: Computers, Informatics, Nursing 39, no. 6 (2021): 296–97. http://dx.doi.org/10.1097/cin.0000000000000784.

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42

Ting, Daniel S. W., and Lama A. Al-Aswad. "Augmented Intelligence in Ophthalmology: The Six Rights." Asia-Pacific Journal of Ophthalmology 10, no. 3 (2021): 231–33. http://dx.doi.org/10.1097/apo.0000000000000410.

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43

Patel, Rohini, Arielle Lee, John Hallsten, John Lane, Andrew Barleben, and Mahmoud Malas. "Augmented Intelligence Maps Can Improve Intraoperative Outcomes." Journal of Vascular Surgery 76, no. 4 (2022): e86-e87. http://dx.doi.org/10.1016/j.jvs.2022.07.104.

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44

Kromenacker, Bryan, Melody Maarouf, and Vivian Yan Shi. "Augmented Intelligence in Dermatology: Fantasy or Future?" Dermatology 235, no. 3 (2019): 250–52. http://dx.doi.org/10.1159/000497275.

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45

Moawad, Gaby, Paul Tyan, and Michelle Louie. "Artificial intelligence and augmented reality in gynecology." Current Opinion in Obstetrics and Gynecology 31, no. 5 (2019): 345–48. http://dx.doi.org/10.1097/gco.0000000000000559.

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46

Kovarik, Carrie, Ivy Lee, Justin Ko, et al. "Commentary: Position statement on augmented intelligence (AuI)." Journal of the American Academy of Dermatology 81, no. 4 (2019): 998–1000. http://dx.doi.org/10.1016/j.jaad.2019.06.032.

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47

Yu, Yipeng, Gang Pan, Yongyue Gong, et al. "Intelligence-Augmented Rat Cyborgs in Maze Solving." PLOS ONE 11, no. 2 (2016): e0147754. http://dx.doi.org/10.1371/journal.pone.0147754.

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48

Sabry Abdel-Hamid Helwa, Hasnaa. "Artificial Intelligence Versus Augmented Reality in Instruction." Sustainability Education Globe 1, no. 1 (2023): 1–10. http://dx.doi.org/10.21608/seg.2023.340083.

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49

Heer, Jeffrey. "Agency plus automation: Designing artificial intelligence into interactive systems." Proceedings of the National Academy of Sciences 116, no. 6 (2019): 1844–50. http://dx.doi.org/10.1073/pnas.1807184115.

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Much contemporary rhetoric regards the prospects and pitfalls of using artificial intelligence techniques to automate an increasing range of tasks, especially those once considered the purview of people alone. These accounts are often wildly optimistic, understating outstanding challenges while turning a blind eye to the human labor that undergirds and sustains ostensibly “automated” services. This long-standing focus on purely automated methods unnecessarily cedes a promising design space: one in which computational assistance augments and enriches, rather than replaces, people’s intellectual

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50

Nelson, Caroline A., Swapna Pachauri, Rosie Balk, et al. "Dermatologists’ Perspectives on Artificial Intelligence and Augmented Intelligence — A Cross-sectional Survey." JAMA Dermatology 157, no. 7 (2021): 871. http://dx.doi.org/10.1001/jamadermatol.2021.1685.

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